Utilities · Analytics ·

Distribution & billing

Manage distribution: volume distributed, network service quality, collection rate and unpaid bills.

Illustrative preview of the SAP Analytics Cloud dashboard Distribution & billing for the Utilities industry: metrics Distributed volume, Collection rate, Unpaid bills, Supply quality, analyzed by Zone, Customer segment, Tariff.
Illustrative preview of a possible rendering in SAC. Brand colors and structure; synthetic figures.

KPIs included

  • Distributed volume
  • Collection rate
  • Unpaid bills
  • Supply quality

Analysis dimensions

  • Zone
  • Customer segment
  • Tariff

About this template

Manage distribution: volume distributed, network service quality, collection rate and unpaid bills. Designed for teams in the Utilities industry, the model pre-wires 4 key metrics — including Distributed volume and Collection rate — analyzable across 3 analysis axes (Zone, Customer segment, Tariff). You start from an already-bounded base (units, aggregations and business labels defined) rather than a blank sheet.

After downloading, import Distribution & billing into SAC Modeler (Files → New Model → Import data from a file), map the 3 dimensions and 4 measures, then build your Story. The provided dataset contains 720 to 960 rows with realistic values for the Utilities industry, available as .xlsx (multi-sheet workbook), .csv (flat table) and .package (ZIP bundle with model.json, data.csv and README).

FAQ

What is the "Distribution & billing" template for?

It provides a ready-to-use SAC structure to drive analytics in the Utilities industry. The standard business KPIs and dimensions are already defined, saving you the modeling phase.

Which KPIs are included?

The template includes 4 metrics: Distributed volume, Collection rate, Unpaid bills, Supply quality. Each is computed across the dimensions Zone, Customer segment, Tariff.

How do I import it into SAP Analytics Cloud?

Download the .csv or .xlsx format, then in SAC: Files → New Model → Import data from a file. Map the columns (Dimensions then Measures), validate the types and build your Story. Allow 5 to 10 minutes for an operational model.